# Generated by API Evangelist (build-phrasing.py). Our phrasing, not observed demand.
overlay: 1.0.0
info:
  title: API Evangelist conversational phrasing for Microsoft Azure Text Analytics Client Sentiment API
  version: 1.0.0
extends: openapi/microsoft-azure-sentiment-api-openapi.yml
actions:
- target: $.info
  update:
    x-apievangelist-phrasing:
      method: generated
      generated: '2026-09-26'
      generator: build-phrasing.py
      label: Generated by API Evangelist
      operations: 1
- target: $.paths['/sentiment'].post
  update:
    x-apievangelist-phrasing:
      intent: Analyze the sentiment of text
      effect: read
      questions:
      - How do I find out whether customer reviews are positive or negative?
      - Can I get sentiment for individual targets and opinions inside a sentence?
      - Does sentiment analysis score each sentence as well as the whole document?
      instructions:
      - text: Analyze the sentiment of documents {input}.
        slots:
          input: body.input
      - text: Run sentiment on {input} with opinion mining set to {opinion}.
        slots:
          input: body.input
          opinion: query.opinionMining
      - text: Score sentiment for {input} using model version {model} and include stats.
        slots:
          input: body.input
          model: query.model-version
      method: generated
      generated: '2026-09-26'